Datasets:

---

bldeaw

/

guardrails-load-test-results

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
base_url: string
timestamp: string
run_at: string
metadata: struct<platform: string, platform_release: string, python_version: string, cpu_count: int64, memory_total_gb: double, memory_available_gb: double>
total_cases: int64
passed: int64
results: list<item: struct<name: string, url: string, method: string, status_code: int64, latency_ms: double, result_summary: struct<decision: string, sanitized_text_snippet: string, batch_count: int64, body_preview: string, stream_lines: int64>>>
vs
run_at: string
metadata: struct<platform: string, platform_release: string, python_version: string, cpu_count: int64, memory_total_gb: double, memory_available_gb: double, base_url: string>
results: struct<single: list<item: struct<endpoint: string, concurrency: int64, requests: int64, success: int64, errors: int64, error_rate: double, rps: double, latency_p50_ms: double, latency_p95_ms: double, latency_mean_ms: double>>, batch: list<item: struct<endpoint: string, batch_size: int64, concurrency: int64, requests: int64, success: int64, errors: int64, error_rate: double, rps: double, latency_p50_ms: double, latency_p95_ms: double, latency_mean_ms: double>>, stream: list<item: struct<endpoint: string, concurrency: int64, requests: int64, success: int64, errors: int64, error_rate: double, rps: double, latency_p50_ms: double, latency_p95_ms: double, latency_mean_ms: double>>, batch_stream: list<item: struct<endpoint: string, batch_size: int64, concurrency: int64, requests: int64, success: int64, errors: int64, error_rate: double, rps: double, latency_p50_ms: double, latency_p95_ms: double, latency_mean_ms: double>>, text_length: list<item: struct<endpoint: string, concurrency: int64, requests: int64, success: int64, errors: int64, error_rate: double, rps: double, latency_p50_ms: double, latency_p95_ms: double, latency_mean_ms: double, text_length_chars: int64>>, sustained: struct<endpoint: string, duration_sec: double, concurrency: int64, total_requests: int64, errors: int64, error_rate: double, sustained_rps: double, latency_p50_ms: double, latency_p95_ms: double, stable: bool>, balance: list<item: struct<scenario: string, concurrency: int64, batch_size: int64, per_endpoint: list<item: struct<endpoint: string, concurrency: int64, requests: int64, errors: int64, error_rate: double, rps: double, latency_p50_ms: double, latency_p95_ms: double>>, aggregate_rps: double, total_requests: int64>>>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 604, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              base_url: string
              timestamp: string
              run_at: string
              metadata: struct<platform: string, platform_release: string, python_version: string, cpu_count: int64, memory_total_gb: double, memory_available_gb: double>
              total_cases: int64
              passed: int64
              results: list<item: struct<name: string, url: string, method: string, status_code: int64, latency_ms: double, result_summary: struct<decision: string, sanitized_text_snippet: string, batch_count: int64, body_preview: string, stream_lines: int64>>>
              vs
              run_at: string
              metadata: struct<platform: string, platform_release: string, python_version: string, cpu_count: int64, memory_total_gb: double, memory_available_gb: double, base_url: string>
              results: struct<single: list<item: struct<endpoint: string, concurrency: int64, requests: int64, success: int64, errors: int64, error_rate: double, rps: double, latency_p50_ms: double, latency_p95_ms: double, latency_mean_ms: double>>, batch: list<item: struct<endpoint: string, batch_size: int64, concurrency: int64, requests: int64, success: int64, errors: int64, error_rate: double, rps: double, latency_p50_ms: double, latency_p95_ms: double, latency_mean_ms: double>>, stream: list<item: struct<endpoint: string, concurrency: int64, requests: int64, success: int64, errors: int64, error_rate: double, rps: double, latency_p50_ms: double, latency_p95_ms: double, latency_mean_ms: double>>, batch_stream: list<item: struct<endpoint: string, batch_size: int64, concurrency: int64, requests: int64, success: int64, errors: int64, error_rate: double, rps: double, latency_p50_ms: double, latency_p95_ms: double, latency_mean_ms: double>>, text_length: list<item: struct<endpoint: string, concurrency: int64, requests: int64, success: int64, errors: int64, error_rate: double, rps: double, latency_p50_ms: double, latency_p95_ms: double, latency_mean_ms: double, text_length_chars: int64>>, sustained: struct<endpoint: string, duration_sec: double, concurrency: int64, total_requests: int64, errors: int64, error_rate: double, sustained_rps: double, latency_p50_ms: double, latency_p95_ms: double, stable: bool>, balance: list<item: struct<scenario: string, concurrency: int64, batch_size: int64, per_endpoint: list<item: struct<endpoint: string, concurrency: int64, requests: int64, errors: int64, error_rate: double, rps: double, latency_p50_ms: double, latency_p95_ms: double>>, aggregate_rps: double, total_requests: int64>>>